The group of Prof. Rasulev is focused on development of artificial intelligence-based predictive models to design novel bio-based polymeric materials, nanomaterials and to predict their various properties, including toxicity, solubility, elasticity, degradation rate, etc. The group applies computational chemistry, machine learning and cheminformatics methods for modeling, data analysis and development of predictive structure-property relationship models to find structural factors responsible for activity of investigated materials.
